Skip to content
Trevor School of CS & AI
Login

4-year residential B.Tech in Computer Science & AI

Your B.Tech will be awarded by a UGC-recognised university.

You can download the lectures.
You can’t download the room.

The world's best computer science lectures are already free online: operating systems, networks, compilers, databases, architecture, AI. Almost nobody finishes them alone. Trevor is four years on one campus where that curriculum turns into 40+ things you actually build. Your batchmates are working on the same hard problems, and the engineers here read your code. You graduate with a B.Tech and the work to prove it.

See the Curriculum

No spam calls. No "only 3 seats left" panic. Talk to us when you're ready, and bring your parents.

Batchmates building together on campus

trevor@campus:~ (Lab 2, 2:14 AM)

Terminal output: ./myOS boot. loading kernel... initialising scheduler... PANIC: deadlock detected. trace saved. read it. fix it. 3 batchmates in Lab 2 have hit this before.

Understanding0%
Attendance75/100

Enough to pass.
Not enough to build.

Degree
B.Tech in Computer Science & AI, awarded by a UGC-recognised university. Confirm
Recognition
UGC category, NAAC grade, AICTE approval for this programme
Campus
Bengaluru, fully residential
Batch size
100 students. Small on purpose.
Mentors from
20+ engineers and researchers from product companies and research labs

Curriculum benchmarked against publicly available courseware from MIT, Stanford, Berkeley, CMU and the IITs. We studied their public materials.

No affiliation implied.

Operating SystemsNetworksCompilersDBMSArchitectureArtificial IntelligenceTheory of ComputationDistributed SystemsAlgorithms

We didn’t invent the syllabus. Nobody needs to, because the best ones are already public. What we built is the place where you actually finish it.

The part nobody advertises

Ask any third-year CS student. You'll hear some version of the same story.

  1. You pick CS because you want to build things.

  2. Then Semester 1 happens. Lab records. Lecture notes. Exams that reward remembering over making. You tell yourself, "It'll get better next year."

  3. Often, it doesn't.

  4. By third year, you've submitted dozens of assignments and very little you'd show a stranger. You know what a semaphore is, but you've never written one. You've "done" DBMS, but you've never watched a schema buckle under load and learned why indexes exist.

  5. So you buy a course. Then another. You grind 300 LeetCode problems and still freeze when someone asks, "Okay, but how would you design this?" Nobody taught you to design. Only to submit.

  6. Meanwhile, the brochures keep arriving. Glossy campus. Big logos. One very large number in bold. AVG. Package

Yes, we have a campus too. So ask every college these three questions, including us:

  1. Q1

    “Show me something your second-years built.”

  2. Q2

    “Show me the median, not the highest, and tell me whose students it came from.”

  3. Q3

    “Let me talk to a student without you in the room.”

And then there's the question that shows up late at night:

"What if I'm 22, have a degree, and still can't build anything?"

Don't ignore that question. Answer it. You have four years.

Situation report / 0102:14
attendance needed to pass
0%
systems most graduates have built from scratch
40
people who start them and never finish
Most
shaped by whoever sits next to you
0 years

Our position

We’re not disrupting engineering education. We’re returning to it.

For decades, engineering colleges across India, the IITs included, have made first-years take Engineering Drawing. Even the computer science kids. Most of them will never draw an isometric projection at work. Most of them complain about it. They’re missing what it’s for.

Engineering Drawing exists because the person who designs a thing and the person who builds it are rarely the same person. A drawing has to say exactly what to make: every dimension, every hidden edge, from every side. Someone else must be able to build it without asking you a single question. One ambiguous line and the part comes back wrong.

That used to be a mechanical engineer’s problem. It’s about to be yours.

An engineering drawing of a bracketFront, top, right and isometric views of an L-shaped bracket with dimensions, a dashed hidden line marking a hole, and a title block reading Trevor, The Drawing Board.the hidden linefind it before it ships18013080Ø24 THRUFRONTTOPRIGHTISO1. EVERY DIMENSION. EVERY HIDDEN EDGE.2. VIEWS: DATA · FAILURE · LOAD · COST3. NO AMBIGUOUS LINES.TREVOR · THE DRAWING BOARDDRAWN: YOUCHECKED: REVIEWERSCALE 1:1SHEET 01 / 04

AI is now the one doing the building. It writes the React component in four seconds, and it builds exactly what you described, including the parts you described badly. The engineer who gets paid is the one who can specify the system precisely. They look at it from every view (data, failure, load, cost) and find the hidden line before it ships.

View 01

Data

What’s stored, where, and who owns it?

View 02

Failure

What breaks first, and then what?

View 03

Load

What changes at 100× the traffic?

View 04

Cost

What does it cost to run?

That’s not a framework. That’s a drawing. And you can only draw what you understand.

The new-age playbook skips the “boring” parts: Theory of Computation, Compilers, Computer Architecture. It teaches React in week three, print a big number, move on.

We think that's exactly backwards. Especially now.

Frameworks expire.Fundamentals compound.

Value over timeIllustrative
Frameworks Fundamentals

The Drawing Board

Confirm

At Trevor, every system starts on a whiteboard.

Before you write the code, and before you open an AI assistant, you defend your design to a reviewer. You explain the views, the interfaces, and where it will break. First-years do it for a shell. Fourth-years do it for a distributed system. By graduation, specifying exactly what to build is the most natural thing you do.

Design reviewBefore any code
  1. 01Whiteboard
  2. 02Defend to a reviewer
  3. 03Then the code, and the AI
  • The views
  • The interfaces
  • Where it will break
YEAR 1 · a shellYEAR 4 · a distributed system

Exit matrix

Same 4 years. Different exits.

  • Without TrevorYou learn frameworks. AI already knows them better.
    With TrevorYou learn systems. AI becomes your power tool, not your replacement.
  • Without TrevorYou “did” OS. You never wrote a scheduler.
    With TrevorYou wrote a scheduler. It deadlocked. You fixed it. You’ll never forget it.
  • Without TrevorYour portfolio: a to-do app and a clone of a clone.
    With TrevorYour portfolio: a shell, a database, a compiler, a neural net, all from scratch.
  • Without TrevorYour code is read by an auto-grader, if anyone.
    With TrevorEvery project is reviewed by an engineer who has shipped production code. Confirm
  • Without TrevorYou memorise 300 DSA problems and forget 280.
    With TrevorYou solve problems you’ve never seen, because you understand the machine.
  • Without TrevorYour first real engineering job is your first real engineering experience.
    With TrevorYou’ve done 18 months of industry work before graduating.
  • Without Trevor“Why did you choose this design?” → silence.
    With Trevor“Why this design?” → you pull up the benchmark you ran.
  • Without TrevorYour batchmates are whoever the rank list put there.
    With TrevorYour batchmates were selected for how they think, and they raise your ceiling every day.

Same B.Tech. Different four years.

Why residential · The precedent

One guy did MIT’s CS curriculum in 12 months. From his bedroom.

Between 2011 and 2012, Scott Young worked through 33 courses from MIT’s computer science curriculum in about a year, using free public courseware.

0

MIT CS courses

~0

months

Free

public courseware

He proved the curriculum was never the scarce thing.

He’s also the exception, and that’s the part nobody mentions. For every Scott, countless people open the same free lectures and stop a few weeks in. They aren’t less capable. Nobody was in the room with them.

The same free lecturesIllustrative
Opened the lectures Stopped a few weeks in The exception

What’s missing is:

  • What order to take courses in01
  • How deep to go02
  • What to build after each one03
  • Someone to read your code04
  • People around you doing the same hard thing at the same hour05
Batchmates spending time together on campus

That’s why Trevor is residential.

Not for the hostel. For the room.

Curriculum

The spine of the curriculum

Four years, semester by semester. Each course ends in something you build.

Year 01

Foundations

Sem 1

  • Programming in C (Foundation)

    You build: CLI tools: wc, grep, hexdump

  • Discrete Mathematics (Foundation)

    You build: a logic puzzle solver

  • Calculus & Linear Algebra (Foundation)

    You build: a matrix library

  • Digital Logic (Foundation)

    You build: an ALU in a simulator

Sem 2

  • Data Structures (Core CS)

    You build: your own standard library

  • Systems Programming (Systems)

    You build: a Unix shell

  • Programming Languages I (Core CS)

    You build: an interpreter

  • Computer Organisation (Systems)

    You build: a CPU emulator

  • Probability & Statistics (Foundation)

    You build: a Monte Carlo simulator

Year 02

Core systems

Sem 3

  • Algorithms (Core CS)

    You build: a route planner on real map data

  • Operating Systems (Systems)

    You build: myOS: a kernel and scheduler

  • Theory of Computation (Core CS)

    You build: a regex engine

  • Software Construction (Core CS)

    You build: your own git

Sem 4

  • Database Systems (Systems)

    You build: a relational database

  • Computer Networks (Systems)

    You build: a TCP stack

  • Optimisation for ML (AI/ML)

    You build: an optimiser library

  • Open Source Studio (Core CS)

    You build: your first merged PR

Year 03

Industry

Sem 5

  • Compilers (Systems)

    You build: a compiler for a C subset

  • Machine Learning (AI/ML)

    You build: a neural net from scratch

  • Distributed Systems (Systems)

    You build: a replicated key-value store

  • Track Elective I (Advanced)

    You build: a track project

Sem 6

  • Deep Learning (AI/ML)

    You build: a transformer from scratch

  • Information Retrieval (AI/ML)

    You build: a search engine

  • Computer Security (Systems)

    You build: exploit, then patch, a binary

  • Track Elective II (Advanced)

    You build: a track project

Year 04

Depth

Sem 7

  • System Design at Scale (Advanced)

    You build: a defended design review

  • Track Elective III (Advanced)

    You build: depth work with a mentor

  • Capstone I (Advanced)

    You build: your capstone: spec + prototype

Sem 8

  • Capstone II (Advanced)

    You build: your capstone: shipped + demoed

  • Track Elective IV (Advanced)

    You build: advanced track work

44 courses. 4 years. One campus. You’ll have built the machine, not just used it.

How the four years work

How the four years work.

  1. Students in a classroom sessionYear 1

    Foundations

    Programming, mathematics, how computers work. The Drawing Board starts here. You build a shell, an interpreter and your first real tools.

  2. Students working in a computer labYear 2

    Core systems

    OS, networks, databases, algorithms. You build a database, a TCP stack, and you get your first open-source contribution merged.

  3. Students presenting work to industry guestsYear 3

    Industry

    Specialisation begins, and so does real work. A 3-month summer internship, with a stipend paid by the host company, typically ₹20,000–₹40,000 a month.

  4. Students in an advanced studies sessionYear 4

    Depth

    Capstone, advanced track work and a 9-month industry residency on production systems. You graduate with a B.Tech and a public body of work.

Internships are earned through company interviews, not handed out. We get you ready and open the doors. Walking through them is on you. Don't land one? You'll work on an in-house industry project with a mentor, and we'll keep putting you in front of companies.

Build log

12 projects that end arguments in interviews.

  • 01Sem 2Confirm

    Unix Shell

    Pipes, redirection, job control and signals. The first program you write that argues with the kernel.

    Effort
    Hours~40 h

    Reviewed by: practising engineerConfirm

  • 02Sem 2Confirm

    Interpreter

    Lexer, parser and a tree-walking evaluator for a small language with closures. Stack traces stop being scary.

    Effort
    Hours~60 h

    Reviewed by: practising engineerConfirm

  • 03Sem 3Confirm

    Version Control

    Your own git: content-addressed storage, commits, branches and a three-way merge. Then you submit everything with it.

    Effort
    Hours~45 h

    Reviewed by: practising engineerConfirm

  • 04Sem 3Confirm

    Memory Allocator

    malloc and free from scratch. Fragmentation stops being a textbook word and becomes your problem.

    Effort
    Hours~35 h

    Reviewed by: practising engineerConfirm

  • 05Sem 3Confirm

    myOS: Kernel & Scheduler

    Boot, paging, processes and a scheduler. It will deadlock at 2 AM. You will read the trace. You will fix it.

    Effort
    Hours~140 h

    Reviewed by: practising engineerConfirm

  • 06Sem 4Confirm

    Relational Database

    Pages, a B+ tree, a query planner and transactions. Load it until it breaks, and learn exactly why indexes exist.

    Effort
    Hours~110 h

    Reviewed by: practising engineerConfirm

  • 07Sem 4Confirm

    TCP/IP Stack

    Raw packets in, reliable streams out. Handshakes, retransmission and congestion control, on a real interface.

    Effort
    Hours~80 h

    Reviewed by: practising engineerConfirm

  • 08Sem 5Confirm

    Compiler

    Source text to machine code: parsing, type checking, an IR and register allocation. The machine stops being magic.

    Effort
    Hours~130 h

    Reviewed by: practising engineerConfirm

  • 09Sem 5Confirm

    Neural Net from Scratch

    An autograd engine, backprop by hand, and a network trained on nothing but arrays and patience. No frameworks.

    Effort
    Hours~50 h

    Reviewed by: practising engineerConfirm

  • 10Sem 5Confirm

    Distributed Key-Value Store

    Raft consensus, leader election and log replication. Then you kill nodes on purpose and watch it survive.

    Effort
    Hours~100 h

    Reviewed by: practising engineerConfirm

  • 11Sem 6Confirm

    Search Engine

    A crawler, an inverted index and a ranking function that answers queries over a million pages in milliseconds.

    Effort
    Hours~70 h

    Reviewed by: practising engineerConfirm

  • 12Sem 6Confirm

    Transformer from Scratch

    Tokeniser, attention, training loop. A small language model you can explain line by line, because you wrote every line.

    Effort
    Hours~90 h

    Reviewed by: practising engineerConfirm

A student demoing a project to their batch

13Capstone

One thing nobody asked for.

Your capstone. Your idea. We review the code, and your batch shows up to the demo.

  • Idea: yours
  • Code: reviewed
  • Demo: your batch shows up

Each one comes with a spec, a test suite, a difficulty rating and a “you’re stuck, read this” guide. No video hand-holding.

Struggle is the feature. Struggling alone isn’t.

  • A spec

  • A test suite

  • A difficulty rating

  • A “you’re stuck, read this” guide

Tracks

Go further than the degree requires.

  • Systems & Infrastructure

    For people who want to know why it’s slow.

    Track 01

  • AI & ML

    Models from scratch before models from APIs.

    Track 02

  • Algorithms & Competitive Programming

    For people who like problems with exact answers.

    Track 03

  • Research

    For people headed to an MS or PhD.

    Track 04

  • Founders

    For people who want to ship to strangers.

    Track 05

Who teaches you · Faculty

Learn from people who’ve done the work.

Every name here is a real person, with their full background one click away. Visiting mentors are labelled as visiting, and advisors are never presented as faculty.

N Suraj Kumar, founder and full-time faculty at Trevor School of CS & AI, a biomedical engineering graduate of NIT Raipur
Founder & full-time faculty

The founder

N Suraj Kumar

Founder, Trevor School of CS & AI

In his words

“I build systems — engineering, content, and growth ones.”

A walking contradiction: a biomedical engineer who learned assembly, Verilog and Prolog, then grew two new-age colleges through growth experiments. Now he’s building Trevor.

  • B.Tech Biomedical · NIT Raipur

Full-time faculty04

  • RK Verma, full-time faculty at Trevor School of CS & AI, full-stack software engineer and NIT Raipur computer science graduate
    Full-time faculty

    RK Verma

    Software Engineer, stealth quant trading firm

    • B.Tech CSE · NIT Raipur

    Full-stack engineer and NIT Raipur graduate who has built developer tools, apps and browser extensions used by over 25,000 people.

    In his words

    “Passionate about creating innovative solutions that solve real-world problems.”

  • Prudhvi Reddy, full-time faculty at Trevor School of CS & AI, product manager at GreyB and former associate product manager at Y Combinator-backed AlgoUniversity
    Full-time faculty

    Prudhvi Reddy

    Product Manager, GreyB

    • B.Tech · NIT Raipur

    Product manager who worked with the founding team at a Y Combinator-backed startup, owning the full user journey from acquisition to retention.

    In his words

    “Generalist across Product, Operations, and Growth.”

  • JKR Mutra, full-time faculty at Trevor School of CS & AI, PhD researcher at Tallinn University of Technology and IIT Guwahati biotechnology graduate
    Full-time faculty

    JKR Mutra

    PhD Researcher, Tallinn University of Technology, Estonia

    • PhD (ongoing) · TalTech
    • M.Tech · IIT Guwahati
    • B.Tech · NIT Raipur

    Biotechnologist doing his PhD in Estonia after an M.Tech at IIT Guwahati, with two patent applications and published research on low-cost, plant-based materials for tissue engineering.

    Words he keeps close

    “Opportunities don’t happen, you create them.”

    — Chris Grosser

  • PAM Ramteke, full-time faculty at Trevor School of CS & AI, industrial and product designer with a master’s in design from Delhi Technological University
    Full-time faculty

    PAM Ramteke

    Industrial & Product Designer, M.Des DTU

    • M.Des · DTU
    • B.Tech Civil · NIT Raipur

    Civil engineer turned product designer with a master’s in design from DTU, working across physical products, automotive concepts and AI-assisted design.

    Ask him about

    The lamp he made by blending Rajasthani shellac bangle craft with modern woodworking.

Visiting mentors04

Visiting mentorWhy we label visitors: so you always know who teaches here full time, and who joins from industry and research labs abroad.

  • Roshan Nalli, visiting mentor at Trevor School of CS & AI, senior Power BI developer at Verizon with a master’s in computer science from the University of North Texas
    Visiting mentor

    Roshan Nalli

    Sr. Power BI Developer, Verizon

    • M.S. CS · Univ. of North Texas
    • B.Tech IT · NIT Raipur

    Senior data analyst with 10+ years in the US, building analytics and reporting systems for telecom, healthcare, finance and public transit.

    Ask him about

    Building the operations and ridership dashboards for Washington Metro.

  • ASK Vyas, visiting mentor at Trevor School of CS & AI, robotics field engineer at Maven Robotics with a master’s in robotics from the University at Buffalo
    Visiting mentor

    ASK Vyas

    Robotics Field Engineer, Maven Robotics

    • M.S. Robotics · University at Buffalo
    • B.Tech · KMIT Hyderabad

    Robotics engineer in the San Francisco Bay Area who deploys and tests real robots in the field. He has a master’s in robotics from the University at Buffalo.

    In his words

    “As a robotics engineer, I am passionate about connecting the dots between ideas, people, and applications.”

  • Dr. G Sachin, visiting mentor at Trevor School of CS & AI, postdoctoral researcher at Karlsruhe Institute of Technology with a PhD in solid mechanics from IIT Madras
    Visiting mentor

    Dr. G Sachin

    Postdoctoral Researcher, Karlsruhe Institute of Technology (KIT), Germany

    • PhD · IIT Madras
    • Master’s · IIT Hyderabad
    • B.Tech · IIT Hyderabad

    IIT Madras PhD in solid mechanics, now a postdoctoral researcher in Germany building computer models of the human heart. He spent nine years across IIT Hyderabad and IIT Madras.

    Ask him about

    Simulating how the human heart behaves, with mechanics, blood flow and electrical signals in one model.

  • AK Dewangan, visiting mentor at Trevor School of CS & AI, software developer at GE HealthCare and an electrical engineering graduate of NIT Raipur
    Visiting mentor

    AK Dewangan

    Software Developer, GE HealthCare

    • B.Tech EE · NIT Raipur

    Software engineer at GE HealthCare building secure communication systems for medical technology. Electrical engineer from NIT Raipur, and a cybersecurity and motion design enthusiast.

    Ask him about

    Securing how healthcare systems talk to each other, with TLS and mTLS through the Kong API Gateway.

Advisors

Advised by researchers who build for the real world.

Senior academics from NIT Raipur, with doctorates from IIT Roorkee, IISc Bangalore and Jadavpur University. They advise Trevor; they aren’t full-time faculty, and we label them that way.

  • Dr. Govardhan Bhatt, advisor to Trevor School of CS & AI, Associate Professor of Civil Engineering at NIT Raipur and earthquake engineer with a PhD from IIT Roorkee
    Advisor

    Dr. Govardhan Bhatt

    Associate Professor, Civil Engineering, NIT Raipur

    • PhD · IIT Roorkee
    • M.Tech · VTU

    Earthquake engineer with a PhD from IIT Roorkee, advising state disaster management and rural housing bodies on building safer structures.

    In his words

    “God and Work.”

  • Dr. Saurabh Gupta, advisor to Trevor School of CS & AI, Associate Professor of Biomedical Engineering at NIT Raipur with a PhD from the Indian Institute of Science, Bangalore
    Advisor

    Dr. Saurabh Gupta

    Associate Professor, Biomedical Engineering, NIT Raipur

    • PhD · IISc Bangalore
    • MS · Manipal University
    • B.Tech · Bundelkhand Univ.

    IISc PhD in medical imaging who built NIT Raipur’s innovation and startup ecosystem from the ground up, and now leads its space exploration centre.

    In his words

    “Innovation Enabler | Science Educator | Researcher”

  • Dr. Arindam Bit, advisor to Trevor School of CS & AI, Head of the Department of Biomedical Engineering at NIT Raipur and Marie Curie Fellow
    Advisor

    Dr. Arindam Bit

    Head of Department, Biomedical Engineering, NIT Raipur

    • PhD · Jadavpur University
    • M.E. · Jadavpur University

    Marie Curie Fellow and tissue engineering researcher, building lab-grown tissue and point-of-care diagnostic devices with partners in eight countries.

    In his words

    “Nature is the broadest subject to learn and enjoy. And society is the greatest platform to serve.”

  • Dr. Ayush Khare, advisor to Trevor School of CS & AI, Professor of Physics at NIT Raipur and materials physicist working on next-generation solar cells
    Advisor

    Dr. Ayush Khare

    Professor of Physics, NIT Raipur

    • PhD
    • M.Sc. Physics · 1st rank

    Materials physicist with 25+ years in research and teaching, working on next-generation solar cells. He has guided 9 PhDs and published 80+ international journal papers.

    Off the clock

    Sixteen years (2009–2025) leading RAAGA, NIT Raipur’s music club, and ten running its SPIC MACAY chapter.

Inspiration

The ideas we’re built on.

None of them is affiliated with Trevor. They’re the people whose ideas shaped how we teach, starting with the one we’re named after.

Trevor Hastie, Stanford statistician and co-author of The Elements of Statistical Learning, after whom Trevor School of CS & AI is named
Our namesake

Why we’re called Trevor

Trevor Hastie

Professor Emeritus of Statistics and Biomedical Data Science, Stanford University

The idea we took

The best tools come from people who move between fields.

Hastie took statistics into medicine and genomics, and showed that rigorous maths and real-world problems belong together.

Trevor’s founder comes from biomedical engineering. Hastie’s career, at the meeting point of data and medicine, is the kind of cross-disciplinary thinking the school is named after.

  • Peter Thiel, co-founder of PayPal and Palantir and author of Zero to One
    Inspiration

    Peter Thiel

    Co-founder of PayPal and Palantir, first outside investor in Facebook

    The idea we took

    Don’t compete. Create.

    We want students to build things that don’t exist yet, not chase the same jobs as everyone else.

  • Alex Karp, co-founder and CEO of Palantir Technologies, who holds a PhD in social theory from Goethe University Frankfurt
    Inspiration

    Alex Karp

    Co-founder and CEO, Palantir Technologies

    The idea we took

    You don’t need a computer science degree to build a technology company.

    Some of the best builders come from outside the expected path. We want to teach people from every background to build, not just engineers.

  • Claude Shannon, mathematician and engineer at Bell Labs and MIT, who founded information theory
    Inspiration

    Claude Shannon

    Father of Information Theory, Bell Labs

    The idea we took

    Deep, simple ideas outlast every trend.

    Every system our students build, from a TCP stack to a compiler, rests on his work. It’s the clearest case we know for fundamentals over frameworks.

No affiliation or endorsement implied.

Campus & life · The room

A campus built for the 2 AM bug.

  • Labs open 24/7
  • Compute for AI coursework 16 on-campus GPUs, plus cloud credits for every student
  • Residences, food, security, medical support and counselling twin and triple-sharing rooms in separate blocks with resident wardens, three meals a day, 24/7 security, an on-campus medical room and a counsellor five days a week

Build nights. Hackathons. Demo days. Clubs that actually ship things. And batchmates who’ll still be building with you ten years from now.

You’re not choosing a hostel. You’re choosing who sits next to you for four years.

Outcomes

We’ll show you our numbers when we have them.

Our first batch graduates in 2031. Until then, we won’t show you numbers from other programs and call them ours.

Starting with the medianIllustrative

What we’ll show you instead, every semester:

  1. What students built

    Awaiting first entries · published every semester

    01

  2. Where they interned

    Awaiting first entries · published every semester

    02

  3. What the median looks like, with methodology, once there is one

    Awaiting first entries · published every semester

    03

Self-selection note

Read this before you apply.

This is for you if:

  • You refuse to let a rank decide what kind of engineer you become.
  • You can sit with a hard problem for six hours without opening Instagram, or you want to learn how.
  • You’d rather understand one thing deeply than “complete” ten courses.
  • You want to live among people who would rather build than scroll.

This is not for you if:

  • You want a job guarantee. Nobody can honestly give you one. Anyone who does is selling something.
  • You want videos you can watch at 2x while eating.
  • You want college to be a four-year break.

We’d rather have 100 students who finish than 10,000 who enrol.

A tree-lined walkway on campus

The same recognised degree

B.Tech in Computer Science & AI, awarded by a UGC-recognised university

For parents

A different four years. The same recognised degree.

Your child earns a B.Tech in Computer Science & AI, awarded by a UGC-recognised university.Confirmrecognition details What changes is how the four years are spent: more fundamentals, more building, real industry exposure, and a campus where the norm is hard work.

We are not removing rigour. We’re putting it where employers look for it.

Covered on this page or in the Parent Guide:

Fees & scholarships

The full price. Up front.

We won’t sell you a promise. We’ll show you the price, the work, and, when our first batch graduates, the median.

Fee statement

B.Tech CS & AI · 4 years

No hidden lines
Tuition per year
₹3,90,000
Hostel and food per year
₹1,80,000
One-time fees
₹50,000
Total for four years
₹21,50,000

Scholarships

up to 100% of tuition, based on TAT and interview. up to 50% of tuition for families earning under ₹8 lakh a year.

Loans and instalments

Education loans through 3 lending partners. Pay per semester, or in 6 monthly instalments.

Internship stipends

Paid by host companies during the Year 3 internship and Year 4 residency.

Admissions

We admit on how you think.

Eligibility

Class 12 with Physics and Mathematics, minimum marks

Important dates

Applications open: 1 December 2026
TRACE dates: 18 January, 15 March and 10 May 2027
Final deadline: 15 June 2027
Program begins: 2 August 2027

  • No coding experience required.
  • No coaching required.
  • Practice papers are free.
  • Confirm
The campus entrance

Talk to us when you’re ready,
and bring your parents.

The process

  1. 1

    Apply online.

    Fee: ₹500

  2. 2

    Trevor Admission Test: First Principles

    Reasoning and mathematics, not memorised syllabus.

  3. 3

    Interview with faculty.

  4. 4

    Decision, with scholarship if any.

  5. 5

    Confirm your seat.

Your rank measured one exam. We measure something else.

From the blog

Notes from the room.

Essays on fundamentals, building, and four years on one campus.
All posts
  • Curriculum

    1 min read

    Frameworks expire. Fundamentals compound.

    The new-age playbook skips Theory of Computation and Compilers to teach React in week three. We think that’s exactly backwards, especially now.

  • Engineering

    1 min read

    Every system starts on a whiteboard

    Engineering colleges have made first-years take Engineering Drawing for decades. Here’s why the same idea is now the most important skill a software engineer can have.

FAQ

Frequently asked questions.

No pressure calls. Talk to us when you’re ready, and bring your parents.

  • It's a B.Tech awarded by a UGC-recognised university. Trevor designs and delivers the learning; the university awards the degree. For MS abroad, GATE and government jobs, here's exactly where it stands.

  • No. Trevor designs and delivers the learning; the B.Tech is awarded by a UGC-recognised university. Recognition is what makes a degree valid. Your work is what makes it impressive. That second part is our job.

  • Same university. Different kitchen. The degree is the same kind; what changes is what you're taught, who teaches it, what you build and who you build it with. Don't take our word for it. Put our curriculum and project list next to anyone's, line by line.

  • Not yet, and we won't pretend otherwise. Our first batch graduates in 2031. We'll publish real numbers then, median first. Until then, we won't borrow anyone else's.

  • No, and we'd rather tell you now. Internships are earned through company interviews. If you don't land one, you'll do an in-house industry project with a mentor, and we keep putting you in front of companies.

  • Not even close. We admit through TAT and an interview, and you'll still need to meet the eligibility criteria above. Your rank measured one exam on one day. We're measuring how you think.

  • Separate residences with resident wardens, 24/7 security, CCTV in common areas, an on-campus medical room, a counsellor five days a week and a zero-tolerance anti-ragging policy with a named committee. This is one answer we will never keep vague.

You have four years.
They’re going somewhere.

Attendance register75%

Either into attendance registers and a certificate nobody reads,

github.com/you4 years

or into a GitHub profile that makes the interview a formality.

The curriculum is public. The projects are waiting. The most expensive thing you can spend isn’t a fee. It’s four years of hoping it gets better.

No pressure calls. Talk to us when you’re ready, and bring your parents.